Generic MATLAB code to obtain trends in power system failures and weather patterns by season in the UK
Creators
Description
Overview
This folder contains a generic MATLAB code to obtain trends in power system failures reported to NaFIRS and the Met Office set of weather patterns by season in the UK. It is divided in 4 parts described as follows:
- Part 1 obtains weather-induced power system failures and daily weather patterns by season.
- Part 2 obtains trends in weather patterns and weather induced power system failures a few days before a power system failure occurs.
- Part 3 generates 2-D histograms showing the frequency of power system failures caused by specific weather phenomena by weather pattern and season.
- Part 4 generates Sankey diagrams showing the strength of trends in weather patterns and power system failures caused by specific weather phenomena by season.
License and use permissions
The code available through 10.5281/zenodo.10476553 is licensed as Creative Commons Attribution 4.0 International (CC BY 4.0), meaning you are free to copy, redistribute and adapt them, provided you give appropriate credit. Note that the code is made available as-is and without warranty. We cannot guarantee its accuracy, and accept no responsibility for any liability arising from its use. You are advised to examine the quality of the code for your intended purposes, and to consult the publications linked on this page.
Attribution
Please cite the paper describing our methods [1] and, if possible, link to 10.5281/zenodo.10476553.
[1] Souto, L., Neal, R., Pope, J. O., Gonzalez, P. L. M., Wilkinson, J., Taylor, P. C. (2024): " Identification of weather patterns and transitions likely to cause power outages in the United Kingdom", Nature Communications Earth & Environment, DOI: 10.1038/s43247-024-01217-w.
Files
identification_of_weather_patterns_power_system_failures_open_source_code.zip
Files
(12.5 kB)
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md5:6bcac7e33d1cd2385afee2f189c72d6c
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Additional details
Related works
- Is part of
- Preprint: https://dx.doi.org/10.21203/rs.3.rs-3179174/v1 (Other)
- Publication: 10.1038/s43247-024-01217-w (DOI)
Funding
- UK Research and Innovation
- Supergen Energy Networks hub 2018 EP/S00078X/2